Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:19:07.139429
Analysis finished2020-08-25 00:20:15.902487
Duration1 minute and 8.76 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.469191819429398e-10
Minimum-1.7552213668823242
Maximum1.6792644262313845
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:15.954884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.755221367
5-th percentile-1.586252165
Q1-0.8625258207
median-0.01294282731
Q30.8847245574
95-th percentile1.492860073
Maximum1.679264426
Range3.434485793
Interquartile range (IQR)1.747250378

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)1828423708
Kurtosis-1.21390273
Mean5.469191819e-10
Median Absolute Deviation (MAD)0.8714923924
Skewness-0.05255962649
Sum5.469191819e-07
Variance0.999999997
2020-08-25T00:20:16.064469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.215331897110.1%
 
-0.393823444810.1%
 
-0.703197479210.1%
 
0.506724357610.1%
 
-1.53647279710.1%
 
-1.75522136710.1%
 
-0.45345321310.1%
 
1.57943487210.1%
 
-1.25911712610.1%
 
-0.910816550310.1%
 
-0.805338810.1%
 
0.303059339510.1%
 
-1.7069166910.1%
 
0.191176548610.1%
 
-0.245277494210.1%
 
0.922683775410.1%
 
1.36204767210.1%
 
0.101641960410.1%
 
-1.2604492910.1%
 
1.36454975610.1%
 
-0.651023685910.1%
 
-1.3996963510.1%
 
-0.391915917410.1%
 
0.781877815710.1%
 
-0.58461064110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75522136710.1%
 
-1.75361776410.1%
 
-1.74902272210.1%
 
-1.74832725510.1%
 
-1.74173355110.1%
 
-1.74058675810.1%
 
-1.74022555410.1%
 
-1.73262345810.1%
 
-1.72797274610.1%
 
-1.72721564810.1%
 
ValueCountFrequency (%) 
1.67926442610.1%
 
1.67713558710.1%
 
1.67673826210.1%
 
1.67091596110.1%
 
1.66966545610.1%
 
1.66480994210.1%
 
1.66186904910.1%
 
1.66036760810.1%
 
1.65881824510.1%
 
1.65668630610.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.316672518849373e-10
Minimum-1.7357966899871826
Maximum1.6853584051132202
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:16.182253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.73579669
5-th percentile-1.560341728
Q1-0.8956161439
median0.06054258905
Q30.8577444106
95-th percentile1.502415222
Maximum1.685358405
Range3.421155095
Interquartile range (IQR)1.753360555

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3015070059
Kurtosis-1.222063837
Mean3.316672519e-10
Median Absolute Deviation (MAD)0.8684491813
Skewness-0.07100027092
Sum3.316672519e-07
Variance1.000000002
2020-08-25T00:20:16.290875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.446288704910.1%
 
-1.03252315510.1%
 
-0.301117718210.1%
 
0.979799151410.1%
 
1.55601537210.1%
 
1.35288095510.1%
 
-0.459631472810.1%
 
0.715501308410.1%
 
-0.388999432310.1%
 
-1.69271314110.1%
 
-0.683570265810.1%
 
1.47526562210.1%
 
-0.139810085310.1%
 
-0.337236911110.1%
 
-1.72003614910.1%
 
-1.17314565210.1%
 
0.649043440810.1%
 
1.35673403710.1%
 
-0.287425428610.1%
 
-1.07602965810.1%
 
0.721331834810.1%
 
-0.0852237194810.1%
 
-1.49073326610.1%
 
-0.200485244410.1%
 
0.838511347810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7357966910.1%
 
-1.73578894110.1%
 
-1.73298144310.1%
 
-1.72930824810.1%
 
-1.72792005510.1%
 
-1.72235345810.1%
 
-1.72208344910.1%
 
-1.72003614910.1%
 
-1.71739256410.1%
 
-1.71098411110.1%
 
ValueCountFrequency (%) 
1.68535840510.1%
 
1.67830634110.1%
 
1.67300438910.1%
 
1.66768205210.1%
 
1.66755592810.1%
 
1.66546654710.1%
 
1.66058170810.1%
 
1.66014051410.1%
 
1.65920460210.1%
 
1.65438985810.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.618188202381134e-10
Minimum-1.7162796258926392
Maximum1.6953233480453491
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:16.577584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.716279626
5-th percentile-1.569147879
Q1-0.8758028299
median0.02669332735
Q30.8872749954
95-th percentile1.538357198
Maximum1.695323348
Range3.411602974
Interquartile range (IQR)1.763077825

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-2763814214
Kurtosis-1.212171125
Mean-3.618188202e-10
Median Absolute Deviation (MAD)0.8765489757
Skewness-0.00500532368
Sum-3.618188202e-07
Variance0.9999999963
2020-08-25T00:20:16.685966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.57617127910.1%
 
1.15759336910.1%
 
-0.942659616510.1%
 
0.608118355310.1%
 
-0.116367593410.1%
 
-1.64399409310.1%
 
0.662797868310.1%
 
1.15276563210.1%
 
1.21230781110.1%
 
1.16152441510.1%
 
1.67324101910.1%
 
1.65506589410.1%
 
0.208176404210.1%
 
-0.811221182310.1%
 
-0.0121078621610.1%
 
1.57946670110.1%
 
0.645177841210.1%
 
0.70379424110.1%
 
-1.10610020210.1%
 
-1.31997823710.1%
 
-1.47789585610.1%
 
1.44381678110.1%
 
0.0364182554210.1%
 
0.843108832810.1%
 
0.228430405310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71627962610.1%
 
-1.71224844510.1%
 
-1.71132063910.1%
 
-1.70998716410.1%
 
-1.70808625210.1%
 
-1.70369780110.1%
 
-1.69955778110.1%
 
-1.69628512910.1%
 
-1.69285345110.1%
 
-1.69127154410.1%
 
ValueCountFrequency (%) 
1.69532334810.1%
 
1.69309103510.1%
 
1.67932915710.1%
 
1.67837905910.1%
 
1.67732083810.1%
 
1.67625451110.1%
 
1.6754103910.1%
 
1.67324101910.1%
 
1.67198932210.1%
 
1.67066574110.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4121760614216327e-09
Minimum-1.7697603702545166
Maximum1.7030868530273438
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:16.804501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.76976037
5-th percentile-1.582623476
Q1-0.8699614555
median0.03179240227
Q30.8803248703
95-th percentile1.513632232
Maximum1.703086853
Range3.472847223
Interquartile range (IQR)1.750286326

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)708127001
Kurtosis-1.198387591
Mean1.412176061e-09
Median Absolute Deviation (MAD)0.8725591004
Skewness-0.06561174156
Sum1.412176061e-06
Variance0.9999999986
2020-08-25T00:20:16.911926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57812380810.1%
 
1.66689360110.1%
 
-1.5794848210.1%
 
-0.959661781810.1%
 
-1.21635794610.1%
 
1.42712295110.1%
 
-1.53648817510.1%
 
-0.963554859210.1%
 
1.29017555710.1%
 
-1.49741995310.1%
 
-0.497400730810.1%
 
-0.588549792810.1%
 
0.801129519910.1%
 
-1.70443415610.1%
 
0.379232376810.1%
 
-1.75585007710.1%
 
-1.44191503510.1%
 
1.22784650310.1%
 
1.60674679310.1%
 
0.63032281410.1%
 
0.588525891310.1%
 
-1.69663310110.1%
 
-0.103350751110.1%
 
0.723289370510.1%
 
0.965474784410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7697603710.1%
 
-1.76441204510.1%
 
-1.76330089610.1%
 
-1.75845098510.1%
 
-1.75600588310.1%
 
-1.75585007710.1%
 
-1.75487077210.1%
 
-1.75396895410.1%
 
-1.75291252110.1%
 
-1.74947965110.1%
 
ValueCountFrequency (%) 
1.70308685310.1%
 
1.69560265510.1%
 
1.69404780910.1%
 
1.68595159110.1%
 
1.68376803410.1%
 
1.67653870610.1%
 
1.67590713510.1%
 
1.67292380310.1%
 
1.67025494610.1%
 
1.66977918110.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4020224625710398e-09
Minimum-1.7448177337646484
Maximum1.7490990161895752
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:17.031862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.744817734
5-th percentile-1.556250006
Q1-0.8467794508
median-0.02148719318
Q30.83928895
95-th percentile1.574232316
Maximum1.749099016
Range3.49391675
Interquartile range (IQR)1.686068401

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)713255333.2
Kurtosis-1.178763464
Mean1.402022463e-09
Median Absolute Deviation (MAD)0.8463264108
Skewness0.02385708
Sum1.402022463e-06
Variance0.9999999974
2020-08-25T00:20:17.139461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57031118910.1%
 
0.132485076810.1%
 
1.39934527910.1%
 
0.67449569710.1%
 
-1.25914704810.1%
 
1.28269052510.1%
 
-0.0117901740610.1%
 
1.40606212610.1%
 
0.0673197656910.1%
 
-0.913010895310.1%
 
-0.914717495410.1%
 
1.64973509310.1%
 
-1.1848918210.1%
 
0.12906786810.1%
 
-1.52214765510.1%
 
-1.61572313310.1%
 
-1.23948597910.1%
 
-1.376281510.1%
 
-0.766575515310.1%
 
-1.00653922610.1%
 
-1.31765830510.1%
 
0.213535264110.1%
 
-0.781873643410.1%
 
-1.14967596510.1%
 
-0.242830306310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74481773410.1%
 
-1.74007546910.1%
 
-1.73493015810.1%
 
-1.73374414410.1%
 
-1.73149144610.1%
 
-1.73131763910.1%
 
-1.72963821910.1%
 
-1.71895968910.1%
 
-1.71628856710.1%
 
-1.7038184410.1%
 
ValueCountFrequency (%) 
1.74909901610.1%
 
1.74305665510.1%
 
1.7430242310.1%
 
1.72759890610.1%
 
1.72669005410.1%
 
1.72364354110.1%
 
1.72114300710.1%
 
1.71568715610.1%
 
1.70929253110.1%
 
1.70664918410.1%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.5425106287002565e-10
Minimum-1.711398720741272
Maximum1.7037003040313718
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:17.258163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.711398721
5-th percentile-1.52794916
Q1-0.9105882943
median-0.0290752165
Q30.8436015397
95-th percentile1.571333122
Maximum1.703700304
Range3.415099025
Interquartile range (IQR)1.754189834

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-3933120237
Kurtosis-1.220164647
Mean-2.542510629e-10
Median Absolute Deviation (MAD)0.8815576732
Skewness0.02125808404
Sum-2.542510629e-07
Variance1.000000001
2020-08-25T00:20:17.364483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.66405117510.1%
 
-0.820962965510.1%
 
-1.39978492310.1%
 
-1.11230647610.1%
 
1.2044638410.1%
 
-0.90886813410.1%
 
0.102211870310.1%
 
1.35679316510.1%
 
-1.08030557610.1%
 
0.721363544510.1%
 
0.602222204210.1%
 
1.01303064810.1%
 
0.94129574310.1%
 
-0.844402551710.1%
 
-1.11458432710.1%
 
-0.328449696310.1%
 
0.271794468210.1%
 
-1.43098068210.1%
 
-0.599072277510.1%
 
1.05988407110.1%
 
-0.57486325510.1%
 
-0.338220745310.1%
 
-0.773206889610.1%
 
0.736204564610.1%
 
-0.367656439510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71139872110.1%
 
-1.70367515110.1%
 
-1.70361900310.1%
 
-1.69132363810.1%
 
-1.68701112310.1%
 
-1.68232238310.1%
 
-1.68003213410.1%
 
-1.67917108510.1%
 
-1.67891883910.1%
 
-1.67824447210.1%
 
ValueCountFrequency (%) 
1.70370030410.1%
 
1.69609153310.1%
 
1.6956005110.1%
 
1.68857812910.1%
 
1.68815791610.1%
 
1.6840746410.1%
 
1.67762875610.1%
 
1.67343723810.1%
 
1.67335927510.1%
 
1.66501331310.1%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.757878974080086e-10
Minimum-1.7176398038864136
Maximum1.7192138433456419
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:17.480889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.717639804
5-th percentile-1.559962982
Q1-0.8873605877
median0.007696148241
Q30.8780616224
95-th percentile1.558846599
Maximum1.719213843
Range3.436853647
Interquartile range (IQR)1.76542221

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-3625974928
Kurtosis-1.204358856
Mean-2.757878974e-10
Median Absolute Deviation (MAD)0.8768381441
Skewness0.006169379355
Sum-2.757878974e-07
Variance1.000000003
2020-08-25T00:20:17.590448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.427733451110.1%
 
-0.131511136910.1%
 
1.15370309410.1%
 
-1.4896335610.1%
 
0.153758645110.1%
 
-1.56775176510.1%
 
0.0453300774110.1%
 
1.61852407510.1%
 
0.183760315210.1%
 
-0.386075437110.1%
 
0.641290605110.1%
 
-1.34117329110.1%
 
-0.776908397710.1%
 
-1.71225500110.1%
 
0.883469104810.1%
 
-1.38504254810.1%
 
-1.1926364910.1%
 
0.586586654210.1%
 
-0.249897703510.1%
 
0.242348685910.1%
 
-1.48956751810.1%
 
0.533846199510.1%
 
1.10418665410.1%
 
0.0380113348410.1%
 
-0.73862016210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71763980410.1%
 
-1.71335995210.1%
 
-1.7130180610.1%
 
-1.71270692310.1%
 
-1.71225500110.1%
 
-1.71146833910.1%
 
-1.70804536310.1%
 
-1.70724189310.1%
 
-1.70523965410.1%
 
-1.6995022310.1%
 
ValueCountFrequency (%) 
1.71921384310.1%
 
1.71885955310.1%
 
1.70829486810.1%
 
1.70815002910.1%
 
1.70509707910.1%
 
1.70205569310.1%
 
1.70054924510.1%
 
1.69587540610.1%
 
1.69488680410.1%
 
1.69237041510.1%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.052634954452515e-09
Minimum-1.695858359336853
Maximum1.7435994148254397
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:17.710745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.695858359
5-th percentile-1.559122312
Q1-0.8973531872
median0.01857888047
Q30.829798907
95-th percentile1.566941208
Maximum1.743599415
Range3.439457774
Interquartile range (IQR)1.727152094

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-487178686
Kurtosis-1.211765572
Mean-2.052634954e-09
Median Absolute Deviation (MAD)0.861823529
Skewness-0.02544096774
Sum-2.052634954e-06
Variance1
2020-08-25T00:20:17.816369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.340660095210.1%
 
0.0178958773610.1%
 
0.230622619410.1%
 
0.791707634910.1%
 
-0.897171199310.1%
 
-0.358741432410.1%
 
-0.118323050410.1%
 
-1.24957644910.1%
 
-1.23963403710.1%
 
-1.61463069910.1%
 
-0.347015410710.1%
 
0.799812376510.1%
 
-1.13805389410.1%
 
0.351461470110.1%
 
-0.214033573910.1%
 
1.50131297110.1%
 
0.514294385910.1%
 
-1.67908954610.1%
 
-1.52864909210.1%
 
0.357746332910.1%
 
1.02863991310.1%
 
-0.144204452610.1%
 
-0.106577888110.1%
 
0.752596914810.1%
 
1.29034769510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69585835910.1%
 
-1.69373285810.1%
 
-1.68592572210.1%
 
-1.67908954610.1%
 
-1.67225098610.1%
 
-1.66822433510.1%
 
-1.66275680110.1%
 
-1.66068625510.1%
 
-1.65699589310.1%
 
-1.65391445210.1%
 
ValueCountFrequency (%) 
1.74359941510.1%
 
1.73865115610.1%
 
1.73677825910.1%
 
1.73043692110.1%
 
1.7243403210.1%
 
1.70984554310.1%
 
1.70954060610.1%
 
1.70537114110.1%
 
1.70205545410.1%
 
1.69583880910.1%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.871376298367977e-10
Minimum-1.7868489027023315
Maximum1.7433979511260986
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:17.935058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.786848903
5-th percentile-1.575993478
Q1-0.8228723705
median0.045724703
Q30.8507602513
95-th percentile1.544465882
Maximum1.743397951
Range3.530246854
Interquartile range (IQR)1.673632622

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-5343660714
Kurtosis-1.162778153
Mean-1.871376298e-10
Median Absolute Deviation (MAD)0.8289667666
Skewness-0.05285279075
Sum-1.871376298e-07
Variance1.000000001
2020-08-25T00:20:18.042065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0971058756110.1%
 
1.74339795110.1%
 
0.229161575410.1%
 
-0.354804933110.1%
 
-1.43484175210.1%
 
0.288397312210.1%
 
-0.709606051410.1%
 
-1.34498131310.1%
 
-0.107890218510.1%
 
0.859987437710.1%
 
1.0480991610.1%
 
-0.444641441110.1%
 
-1.52940428310.1%
 
-0.644769251310.1%
 
0.686155021210.1%
 
0.631462395210.1%
 
0.166607543810.1%
 
-0.811147391810.1%
 
1.54149854210.1%
 
-0.629504919110.1%
 
1.31863105310.1%
 
0.822858333610.1%
 
-0.602154135710.1%
 
-0.077710494410.1%
 
0.652931690210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78684890310.1%
 
-1.78544151810.1%
 
-1.78389084310.1%
 
-1.77740800410.1%
 
-1.77397310710.1%
 
-1.76988220210.1%
 
-1.7689101710.1%
 
-1.76841366310.1%
 
-1.75830483410.1%
 
-1.75726151510.1%
 
ValueCountFrequency (%) 
1.74339795110.1%
 
1.7355463510.1%
 
1.73547792410.1%
 
1.73230254710.1%
 
1.72362041510.1%
 
1.71455335610.1%
 
1.71260821810.1%
 
1.70986747710.1%
 
1.70701384510.1%
 
1.7041697510.1%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.725320756435394e-10
Minimum-1.7565902471542358
Maximum1.7068977355957031
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:18.161627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.756590247
5-th percentile-1.591455126
Q1-0.87126939
median0.03460906819
Q30.8903803229
95-th percentile1.503829223
Maximum1.706897736
Range3.463487983
Interquartile range (IQR)1.761649713

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1294444638
Kurtosis-1.20838363
Mean-7.725320756e-10
Median Absolute Deviation (MAD)0.8804481439
Skewness-0.03322541767
Sum-7.725320756e-07
Variance1.000000006
2020-08-25T00:20:18.265335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.56620907810.1%
 
0.600269854110.1%
 
-0.0816284492610.1%
 
0.442721992710.1%
 
-1.6771260510.1%
 
1.41743099710.1%
 
1.35290193610.1%
 
1.27477598210.1%
 
1.29430520510.1%
 
0.865901768210.1%
 
1.05601966410.1%
 
-0.291347533510.1%
 
-1.23179602610.1%
 
-1.29819929610.1%
 
-1.11977100410.1%
 
-0.460104703910.1%
 
-0.269848883210.1%
 
0.910814166110.1%
 
0.890698432910.1%
 
0.604167342210.1%
 
-1.67448079610.1%
 
-1.61848795410.1%
 
0.494472205610.1%
 
-1.31378984510.1%
 
0.233071327210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75659024710.1%
 
-1.75032794510.1%
 
-1.75013160710.1%
 
-1.74552881710.1%
 
-1.74527990810.1%
 
-1.74497127510.1%
 
-1.74229049710.1%
 
-1.73886716410.1%
 
-1.73483145210.1%
 
-1.73417079410.1%
 
ValueCountFrequency (%) 
1.70689773610.1%
 
1.70563685910.1%
 
1.70412528510.1%
 
1.70026385810.1%
 
1.70004439410.1%
 
1.69948160610.1%
 
1.69235253310.1%
 
1.68392717810.1%
 
1.68339049810.1%
 
1.67355465910.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.081643858924508e-09
Minimum-1.765894651412964
Maximum1.7214051485061646
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:18.381806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.765894651
5-th percentile-1.580520082
Q1-0.8694632053
median0.04100990854
Q30.8453783691
95-th percentile1.556195402
Maximum1.721405149
Range3.4872998
Interquartile range (IQR)1.714841574

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-924518722.9
Kurtosis-1.156994276
Mean-1.081643859e-09
Median Absolute Deviation (MAD)0.852914542
Skewness-0.06229260718
Sum-1.081643859e-06
Variance0.9999999982
2020-08-25T00:20:18.485124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.153092965510.1%
 
0.348960459210.1%
 
0.569084882710.1%
 
-0.0499719083310.1%
 
-0.290861278810.1%
 
-1.53903567810.1%
 
0.238460093710.1%
 
-0.222834646710.1%
 
-0.940160274510.1%
 
-1.27875757210.1%
 
-0.89718979610.1%
 
-0.275742322210.1%
 
0.020956993110.1%
 
1.24359023610.1%
 
-0.738982081410.1%
 
-1.26310777710.1%
 
-0.721366167110.1%
 
1.18107140110.1%
 
1.04044246710.1%
 
-0.81012791410.1%
 
-1.16933715310.1%
 
0.200366094710.1%
 
-0.885446608110.1%
 
-1.46229791610.1%
 
1.64198255510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76589465110.1%
 
-1.76575684510.1%
 
-1.76522505310.1%
 
-1.76489615410.1%
 
-1.76025319110.1%
 
-1.7598191510.1%
 
-1.75427615610.1%
 
-1.74757492510.1%
 
-1.74691474410.1%
 
-1.7323231710.1%
 
ValueCountFrequency (%) 
1.72140514910.1%
 
1.71877074210.1%
 
1.71277272710.1%
 
1.71237814410.1%
 
1.70796585110.1%
 
1.70613968410.1%
 
1.70598077810.1%
 
1.70579826810.1%
 
1.69421565510.1%
 
1.69173455210.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3959070219726754e-09
Minimum-1.716450333595276
Maximum1.7153887748718262
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:18.601261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.716450334
5-th percentile-1.5504044
Q1-0.8361166269
median-0.0569096338
Q30.8976649642
95-th percentile1.539608961
Maximum1.715388775
Range3.431839108
Interquartile range (IQR)1.733781591

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-716380092
Kurtosis-1.223227534
Mean-1.395907022e-09
Median Absolute Deviation (MAD)0.8803303372
Skewness0.03373049618
Sum-1.395907022e-06
Variance1.000000002
2020-08-25T00:20:18.716649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.300779819510.1%
 
1.41149604310.1%
 
1.16636991510.1%
 
0.582722961910.1%
 
-0.754597544710.1%
 
0.947914779210.1%
 
-0.961625933610.1%
 
1.56237435310.1%
 
-1.68265402310.1%
 
-1.14142310610.1%
 
0.00576252816210.1%
 
0.364595621810.1%
 
1.16540718110.1%
 
-1.33337461910.1%
 
-0.62551546110.1%
 
0.688168704510.1%
 
1.14581167710.1%
 
-1.25747811810.1%
 
-1.10679674110.1%
 
1.06382620310.1%
 
-1.35288751110.1%
 
-0.633471548610.1%
 
-0.582689881310.1%
 
-1.68100297510.1%
 
-1.20053374810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71645033410.1%
 
-1.70678603610.1%
 
-1.70239865810.1%
 
-1.69988417610.1%
 
-1.69866347310.1%
 
-1.69177913710.1%
 
-1.68838834810.1%
 
-1.68689465510.1%
 
-1.68265402310.1%
 
-1.68100297510.1%
 
ValueCountFrequency (%) 
1.71538877510.1%
 
1.71300196610.1%
 
1.71091365810.1%
 
1.70706808610.1%
 
1.7003283510.1%
 
1.69372415510.1%
 
1.69251751910.1%
 
1.68865704510.1%
 
1.68634450410.1%
 
1.68556499510.1%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4842953532934189e-09
Minimum-1.700671672821045
Maximum1.7797244787216189
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:18.835739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.700671673
5-th percentile-1.518506354
Q1-0.8609358221
median-0.05195128173
Q30.8694549352
95-th percentile1.580468106
Maximum1.779724479
Range3.480396152
Interquartile range (IQR)1.730390757

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)673720360.3
Kurtosis-1.187133268
Mean1.484295353e-09
Median Absolute Deviation (MAD)0.8723430037
Skewness0.04602382989
Sum1.484295353e-06
Variance1
2020-08-25T00:20:18.936233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.865232825310.1%
 
0.174040883810.1%
 
-1.60025334410.1%
 
0.549478948110.1%
 
-0.617837846310.1%
 
-0.317706853210.1%
 
1.34894955210.1%
 
-0.13053207110.1%
 
1.16925525710.1%
 
0.639313697810.1%
 
1.44505417310.1%
 
-0.306960314510.1%
 
1.06122374510.1%
 
0.588315844510.1%
 
-0.0526520945110.1%
 
-0.188634946910.1%
 
-0.461243271810.1%
 
-0.287425428610.1%
 
-1.20047891110.1%
 
1.72781896610.1%
 
-0.0625783130510.1%
 
0.908828377710.1%
 
0.660482525810.1%
 
1.61452424510.1%
 
-1.57936489610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70067167310.1%
 
-1.69750475910.1%
 
-1.69512748710.1%
 
-1.69377934910.1%
 
-1.69235718310.1%
 
-1.6843082910.1%
 
-1.68012344810.1%
 
-1.67546439210.1%
 
-1.67400097810.1%
 
-1.67279708410.1%
 
ValueCountFrequency (%) 
1.77972447910.1%
 
1.77254736410.1%
 
1.77025580410.1%
 
1.76880049710.1%
 
1.76528799510.1%
 
1.74262332910.1%
 
1.74136865110.1%
 
1.73327124110.1%
 
1.73294818410.1%
 
1.72781896610.1%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7581041902303696e-09
Minimum-1.711854338645935
Maximum1.7477780580520632
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:19.049308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.711854339
5-th percentile-1.52632919
Q1-0.8527716249
median-0.000651392038
Q30.8725058883
95-th percentile1.574977851
Maximum1.747778058
Range3.459632397
Interquartile range (IQR)1.725277513

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)568794502.7
Kurtosis-1.209820593
Mean1.75810419e-09
Median Absolute Deviation (MAD)0.8653497994
Skewness0.01319952184
Sum1.75810419e-06
Variance0.9999999972
2020-08-25T00:20:19.158057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.695306003110.1%
 
0.618932545210.1%
 
1.27466082610.1%
 
-0.180838540210.1%
 
-0.215016841910.1%
 
-0.570586562210.1%
 
-1.14154374610.1%
 
-1.48184895510.1%
 
-0.310888916310.1%
 
-0.830761551910.1%
 
-0.684274852310.1%
 
-1.61464023610.1%
 
0.321627646710.1%
 
0.369478523710.1%
 
-0.152511626510.1%
 
0.0420340225110.1%
 
0.288131117810.1%
 
0.992855012410.1%
 
1.16969478110.1%
 
0.654961228410.1%
 
-0.00271550030410.1%
 
0.914720833310.1%
 
0.467124581310.1%
 
-1.32943475210.1%
 
-0.016316741710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71185433910.1%
 
-1.70900738210.1%
 
-1.70581185810.1%
 
-1.70043742710.1%
 
-1.69749605710.1%
 
-1.69625961810.1%
 
-1.69463419910.1%
 
-1.69328904210.1%
 
-1.68484425510.1%
 
-1.67682194710.1%
 
ValueCountFrequency (%) 
1.74777805810.1%
 
1.74660515810.1%
 
1.74381136910.1%
 
1.73269605610.1%
 
1.73182344410.1%
 
1.72698473910.1%
 
1.7169966710.1%
 
1.71335291910.1%
 
1.71098184610.1%
 
1.70818555410.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.06800177693367e-09
Minimum-1.7294050455093384
Maximum1.7602663040161133
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:19.270596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.729405046
5-th percentile-1.528867823
Q1-0.8603343517
median-0.06471554562
Q30.882652998
95-th percentile1.595629483
Maximum1.760266304
Range3.48967135
Interquartile range (IQR)1.74298735

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)483558578.8
Kurtosis-1.194327214
Mean2.068001777e-09
Median Absolute Deviation (MAD)0.8609378934
Skewness0.08420698147
Sum2.068001777e-06
Variance1
2020-08-25T00:20:19.374342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.20682418310.1%
 
-0.0742062106710.1%
 
1.64595675510.1%
 
1.49751782410.1%
 
-0.714119732410.1%
 
-0.776100754710.1%
 
-1.70867240410.1%
 
0.0198698509510.1%
 
0.0619336925410.1%
 
0.936797261210.1%
 
-1.52874624710.1%
 
0.880580306110.1%
 
1.49358737510.1%
 
0.638256013410.1%
 
1.38420653310.1%
 
-1.14982461910.1%
 
-1.25525021610.1%
 
-0.53975540410.1%
 
-0.00629202090210.1%
 
-0.336634188910.1%
 
1.5220595610.1%
 
0.664750635610.1%
 
-0.772930085710.1%
 
-1.30214822310.1%
 
1.130270610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72940504610.1%
 
-1.72418844710.1%
 
-1.71610045410.1%
 
-1.70867240410.1%
 
-1.70680141410.1%
 
-1.70491743110.1%
 
-1.69871854810.1%
 
-1.69776415810.1%
 
-1.69755196610.1%
 
-1.69597876110.1%
 
ValueCountFrequency (%) 
1.76026630410.1%
 
1.75693094710.1%
 
1.75681555310.1%
 
1.75541377110.1%
 
1.7526609910.1%
 
1.75216722510.1%
 
1.7380400910.1%
 
1.73779404210.1%
 
1.73269915610.1%
 
1.72417652610.1%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.053596912636294e-11
Minimum-1.7557520866394043
Maximum1.706250548362732
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:19.647856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.755752087
5-th percentile-1.535124177
Q1-0.8897035122
median0.008773437236
Q30.8547189832
95-th percentile1.559991765
Maximum1.706250548
Range3.462002635
Interquartile range (IQR)1.744422495

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)1.651910449e+10
Kurtosis-1.228865829
Mean6.053596913e-11
Median Absolute Deviation (MAD)0.8755703568
Skewness0.0008452909116
Sum6.053596913e-08
Variance0.9999999994
2020-08-25T00:20:19.747332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.74229514610.1%
 
-0.717434644710.1%
 
0.705744862610.1%
 
0.989568471910.1%
 
1.02085304310.1%
 
-1.48518288110.1%
 
0.897658765310.1%
 
1.14322400110.1%
 
-0.672528028510.1%
 
-0.97331643110.1%
 
1.57551968110.1%
 
-0.00145084690310.1%
 
-1.56378841410.1%
 
1.43097150310.1%
 
-0.0921207964410.1%
 
1.43566012410.1%
 
0.543577492210.1%
 
-1.2057617910.1%
 
-1.51045131710.1%
 
-1.73954594110.1%
 
-1.57157146910.1%
 
0.0713676288710.1%
 
1.70040404810.1%
 
0.578194081810.1%
 
0.281563043610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75575208710.1%
 
-1.75458204710.1%
 
-1.74229514610.1%
 
-1.73954594110.1%
 
-1.73947417710.1%
 
-1.7348408710.1%
 
-1.73380005410.1%
 
-1.73273599110.1%
 
-1.73164832610.1%
 
-1.73022413310.1%
 
ValueCountFrequency (%) 
1.70625054810.1%
 
1.70293748410.1%
 
1.70081460510.1%
 
1.70040404810.1%
 
1.69225859610.1%
 
1.68605637610.1%
 
1.6851118810.1%
 
1.67640817210.1%
 
1.67523288710.1%
 
1.67499995210.1%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4924444258213044e-10
Minimum-1.7424637079238892
Maximum1.693713903427124
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:19.869640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.742463708
5-th percentile-1.543113571
Q1-0.8671940416
median-2.687913366e-06
Q30.9284075946
95-th percentile1.54332633
Maximum1.693713903
Range3.436177611
Interquartile range (IQR)1.795601636

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-6700417008
Kurtosis-1.234394573
Mean-1.492444426e-10
Median Absolute Deviation (MAD)0.9056177437
Skewness0.007898296357
Sum-1.492444426e-07
Variance1.000000003
2020-08-25T00:20:19.977261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.679687380810.1%
 
-1.41925048810.1%
 
0.180342569910.1%
 
0.791436612610.1%
 
0.953785717510.1%
 
-0.0442306585610.1%
 
-1.68100035210.1%
 
-1.48178005210.1%
 
1.54947209410.1%
 
-0.676433622810.1%
 
-1.46614813810.1%
 
-0.914712488710.1%
 
0.659585595110.1%
 
0.282548338210.1%
 
0.480789512410.1%
 
-0.549467146410.1%
 
-1.2834737310.1%
 
1.24656295810.1%
 
0.383131295410.1%
 
-0.791650593310.1%
 
-0.45441839110.1%
 
1.07548284510.1%
 
0.405338823810.1%
 
-1.73953485510.1%
 
-1.27218544510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74246370810.1%
 
-1.74004912410.1%
 
-1.73953485510.1%
 
-1.73801791710.1%
 
-1.73739492910.1%
 
-1.72035157710.1%
 
-1.71761894210.1%
 
-1.71695268210.1%
 
-1.7166197310.1%
 
-1.71532702410.1%
 
ValueCountFrequency (%) 
1.69371390310.1%
 
1.68975377110.1%
 
1.68821299110.1%
 
1.68680238710.1%
 
1.68510389310.1%
 
1.68377280210.1%
 
1.68066632710.1%
 
1.67755937610.1%
 
1.67744183510.1%
 
1.66336584110.1%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5034765965538099e-09
Minimum-1.797027349472046
Maximum1.6879059076309204
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:20.093627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.797027349
5-th percentile-1.609205788
Q1-0.852189377
median0.03752141073
Q30.8545903116
95-th percentile1.51385892
Maximum1.687905908
Range3.484933257
Interquartile range (IQR)1.706779689

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)665125084.9
Kurtosis-1.144172321
Mean1.503476597e-09
Median Absolute Deviation (MAD)0.8580480106
Skewness-0.07363563649
Sum1.503476597e-06
Variance0.9999999978
2020-08-25T00:20:20.203483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.712885379810.1%
 
0.748634457610.1%
 
0.0709683075510.1%
 
1.61840963410.1%
 
1.39574897310.1%
 
0.271787911710.1%
 
-0.453427016710.1%
 
-0.459286123510.1%
 
0.619742035910.1%
 
-0.923232078610.1%
 
-0.291314095310.1%
 
-0.439749866710.1%
 
-0.549420833610.1%
 
-0.960347175610.1%
 
-1.7394617810.1%
 
-0.0864987447910.1%
 
-0.705637633810.1%
 
-0.60023564110.1%
 
0.760348081610.1%
 
-0.820890605410.1%
 
-0.74276536710.1%
 
0.559170663410.1%
 
1.23942565910.1%
 
-0.319436579910.1%
 
0.0328097492510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.79702734910.1%
 
-1.79697275210.1%
 
-1.79647886810.1%
 
-1.79464292510.1%
 
-1.79384005110.1%
 
-1.79261255310.1%
 
-1.79184198410.1%
 
-1.79153370910.1%
 
-1.79068064710.1%
 
-1.78252923510.1%
 
ValueCountFrequency (%) 
1.68790590810.1%
 
1.68394124510.1%
 
1.68384206310.1%
 
1.68093335610.1%
 
1.68000137810.1%
 
1.67836451510.1%
 
1.67795705810.1%
 
1.67750287110.1%
 
1.6730555310.1%
 
1.67203545610.1%
 

oz48
Real number (ℝ)

Distinct count999
Unique (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3210810720920564e-09
Minimum-1.7759727239608765
Maximum1.6730939149856567
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:20.319409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.775972724
5-th percentile-1.59656443
Q1-0.9048258066
median0.09325380251
Q30.8620157987
95-th percentile1.491699922
Maximum1.673093915
Range3.449066639
Interquartile range (IQR)1.766841605

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)756955816.7
Kurtosis-1.219170208
Mean1.321081072e-09
Median Absolute Deviation (MAD)0.858078558
Skewness-0.1073201787
Sum1.321081072e-06
Variance1.000000004
2020-08-25T00:20:20.423733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.965457856720.2%
 
-1.47655522810.1%
 
0.470057040510.1%
 
-1.04433596110.1%
 
0.657642662510.1%
 
0.136169910410.1%
 
1.17031121310.1%
 
1.59119522610.1%
 
-0.0235196333410.1%
 
-0.254243105610.1%
 
-1.59186518210.1%
 
1.38461244110.1%
 
0.969413995710.1%
 
1.28106284110.1%
 
0.828787505610.1%
 
-1.34897887710.1%
 
-0.961116850410.1%
 
-1.43485605710.1%
 
0.387047886810.1%
 
1.1849069610.1%
 
-0.0360516421510.1%
 
-0.943939626210.1%
 
-1.31770944610.1%
 
-0.911057591410.1%
 
-0.0311687607310.1%
 
Other values (974)97497.4%
 
ValueCountFrequency (%) 
-1.77597272410.1%
 
-1.76623606710.1%
 
-1.76327204710.1%
 
-1.75549364110.1%
 
-1.75001406710.1%
 
-1.74492502210.1%
 
-1.74476981210.1%
 
-1.74331927310.1%
 
-1.73880505610.1%
 
-1.73542106210.1%
 
ValueCountFrequency (%) 
1.67309391510.1%
 
1.67077314910.1%
 
1.6697839510.1%
 
1.66950714610.1%
 
1.66368961310.1%
 
1.6588219410.1%
 
1.65707123310.1%
 
1.65116989610.1%
 
1.64775645710.1%
 
1.64711773410.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.3655593395233155e-10
Minimum-2.51027250289917
Maximum2.838160991668701
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:20:20.537883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.510272503
5-th percentile-1.642432052
Q1-0.7347922623
median-0.03070382681
Q30.6935709417
95-th percentile1.653118181
Maximum2.838160992
Range5.348433495
Interquartile range (IQR)1.428363204

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-4227330024
Kurtosis-0.4407708077
Mean-2.36555934e-10
Median Absolute Deviation (MAD)0.7182477256
Skewness0.0623813526
Sum-2.36555934e-07
Variance1.000000004
2020-08-25T00:20:20.645198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0824402570710.1%
 
-0.582687616310.1%
 
0.799502849610.1%
 
-1.5990010510.1%
 
-0.678405761710.1%
 
0.0707168951610.1%
 
-1.03259003210.1%
 
-0.588539242710.1%
 
-1.1849294910.1%
 
0.758479893210.1%
 
1.14976859110.1%
 
0.840507686110.1%
 
0.695974826810.1%
 
1.79428994710.1%
 
0.392468899510.1%
 
1.034153710.1%
 
-0.934918880510.1%
 
1.65364682710.1%
 
-0.848307490310.1%
 
-1.79036188110.1%
 
1.22135865710.1%
 
1.14582753210.1%
 
0.967442572110.1%
 
-0.735015690310.1%
 
0.490891158610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.51027250310.1%
 
-2.48366618210.1%
 
-2.36945486110.1%
 
-2.33824396110.1%
 
-2.29981923110.1%
 
-2.27466869410.1%
 
-2.27207040810.1%
 
-2.22763156910.1%
 
-2.15382504510.1%
 
-2.14309573210.1%
 
ValueCountFrequency (%) 
2.83816099210.1%
 
2.71731901210.1%
 
2.70416307410.1%
 
2.53657412510.1%
 
2.39525461210.1%
 
2.37866711610.1%
 
2.28549027410.1%
 
2.28474903110.1%
 
2.27533650410.1%
 
2.23984503710.1%
 

Interactions

2020-08-25T00:19:08.293929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:08.461531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:08.623436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:08.937234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.094634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.253000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.411622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.573156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.731987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:09.889754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.050539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.208937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.369657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.531378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.693002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:10.851497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.015930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.175006image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.336644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.494413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.658624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.817567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:11.974205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.137735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.297776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.456051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.622898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.783481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:12.951508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:13.123797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:13.286755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:13.448849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:13.773096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:13.948193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.116609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.278548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.437163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.599478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.761855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:14.923688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.078521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.239722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.397322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.557868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.715343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:15.874406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.032137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.196803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.357768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.518073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.681311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:16.842826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.002403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.165898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.324577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.482016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.642600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.800718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:17.957094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:18.123044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:18.276768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:18.606903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:18.765131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:18.923022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.085321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.252478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.414421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.576695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.744333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:19.907677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:20.070769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:20.235365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:20.395539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:20.557738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:20.719210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:19:55.148415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:55.310721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:55.472384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:55.632410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:55.792039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:55.955179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.121634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.279647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.443570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.601963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.759341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:56.919353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:57.306727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:57.504354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:57.660647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:57.821028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:57.983266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.142539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.304567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.461153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.631603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.793498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:58.955237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.118106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.280875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.444922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.608853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.768480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:19:59.927740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.094202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.257187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.416106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.576804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.743048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:00.903872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.066911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.230137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.391567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.556110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.715311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:01.875818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:02.203081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:02.363463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:02.529119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:02.690532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:02.849370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.019206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.175889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.332795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.492098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.661416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.827799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:03.989672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.149153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.312518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.476640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.652597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.812110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:04.974824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.134012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.294114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.454777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.615925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.776992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:05.933299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:06.092525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:06.246083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:06.401949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:06.562897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:06.720642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.040321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.198777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.356902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.513552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.687025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:07.850160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.010313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.169086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.327248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.483777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.644824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.805747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:08.968534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.131578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.292433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.455842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.633488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.792066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:09.950991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.113635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.274204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.431389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.591959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.749244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:10.909207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:11.072379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:11.236901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:11.398586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:11.559040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:11.880852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.036993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.195237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.352386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.513578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.675468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.832554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:12.991319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.149741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.306726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.463855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.640720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.802608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:13.960960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.119740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.277437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.435237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.598366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.779874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:14.966562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:20:20.796664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:20:21.091946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:20:21.394475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:20:21.697573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:20:15.270406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:20:15.749975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
00.6957370.960346-0.8778401.0499270.7508810.237624-1.459576-0.860836-1.3703191.1515661.532791-0.6069711.2467471.3119750.4952530.420622-0.5329891.482603-1.476555-0.208261
11.2797490.9421221.012036-0.803588-0.913011-1.2264560.183760-0.0872180.481118-0.937961-0.214303-0.541973-1.6727970.535960-1.5339940.819385-0.0504181.2149751.176937-0.514553
20.6693260.1716960.7037940.517593-1.3519881.3328571.586999-0.596974-0.8747861.262973-1.672578-1.1944121.288830-1.315804-0.6318690.3334231.522728-0.003660-0.178275-1.760648
30.972720-0.618130-0.5979801.2321570.744520-0.591907-0.4634940.6653320.3564680.3008120.2056761.4039051.692015-0.590187-1.3116931.5448500.6686480.175737-0.533339-1.642193
4-0.7817031.085302-0.3924971.422944-1.299421-1.025003-0.671948-1.388415-0.8744970.9467830.000426-0.1723560.3330651.716997-0.4064011.216951-1.174442-0.183508-0.601412-1.294976
5-0.067300-1.6877591.1792771.0433971.229977-1.3248660.226135-1.124185-0.7229410.2319300.080531-0.750280-0.027554-1.271310-1.219037-0.639274-0.6912730.209674-0.611065-1.523155
6-1.269377-0.926804-0.1486221.267884-0.293079-0.820963-0.4156541.1809690.4904951.4009900.496205-0.771866-1.172914-1.0084261.309437-1.4397550.9931800.843797-1.712435-0.917990
70.175026-1.3386110.046818-1.349931-1.7162891.6494681.322258-0.0996240.1050711.015904-0.812626-1.006928-1.3233260.8529210.796846-1.273360-1.028893-0.976876-1.0803051.440794
8-1.0280271.052639-0.9615940.405007-1.329555-0.084778-0.7326120.3021201.679952-0.685106-0.3326871.598307-1.0669840.835410-0.2615841.7004040.320805-0.295269-1.6532881.550463
9-1.595583-1.334979-0.7637300.6065600.200829-0.6582640.4628411.2492570.280508-1.4898121.3482450.6260980.0115131.5838490.5683150.8403471.554462-1.4184841.039534-0.234115

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
9900.248494-0.2086840.7101370.5909581.291346-0.426129-1.705240-1.1623221.427529-1.4218480.664196-1.681003-0.9892800.022967-1.5916361.028035-1.5216691.163281-0.018632-2.299819
9910.839077-0.779694-0.946732-0.946345-0.565590-0.764595-0.1718850.688605-1.167918-0.460105-1.5862951.432563-0.8013640.158002-1.6977640.6802691.549472-0.7682081.4053710.083656
992-1.7490230.1687841.220681-0.009437-1.236872-0.130114-0.6415101.6957671.500868-0.0057340.8834931.0474901.048722-0.9357141.2732750.7128980.2523441.0909071.4909441.292194
9930.7052350.8575940.987957-1.046397-1.469218-0.1893140.153759-1.3620810.9962541.2060530.775983-0.4149330.948077-0.859874-0.5777591.5025730.021412-1.2642740.727388-1.136762
9940.9903771.2561761.270206-1.0265511.493965-0.047465-1.3344131.028640-1.3172930.351875-1.1319511.6656351.1216520.6979000.638256-0.7866000.6008950.080216-0.7633500.575054
9951.658818-1.3415961.535864-0.8272300.4136880.736205-0.1345031.4139881.6299840.086600-1.071906-0.1676530.1528000.8748270.4616441.6511180.3251210.406220-0.9609190.687423
996-1.7272160.171323-0.8807700.626823-1.0978720.6792520.351972-1.418015-0.294579-1.485314-0.421370-0.740379-1.239430-1.3504441.386046-0.5543290.551576-1.5558740.668858-0.226119
9970.1016421.4271760.474198-0.690775-0.367264-1.499673-0.7146261.5733791.3475730.462760-0.074627-1.605840-1.027889-1.4667331.052185-1.591764-0.651432-0.5372590.6500110.581834
9981.4231931.464080-1.0522770.1443571.5674340.923343-0.7835230.8264400.960063-0.108682-0.363017-0.6674111.7266231.6260700.613246-0.798067-0.5628471.227581-1.395454-1.110221
999-0.7450160.7580180.344694-1.7324091.3933421.673437-1.369661-1.0547190.941439-1.291693-1.538385-1.599103-1.6085080.0537701.069008-0.485767-0.8216620.1244580.1757261.083327